dist_mat_vec: Distance matrix - vector
In mugiro/elm: Extreme Learning Machine for regression and classification
Description
Usage
Arguments
Value
Description
The function dist_mat_vec compute the distance between each sample of
matrix (row-wise) and a reference vector.
Usage
1
dist_mat_vec(x, ref, type = "euclidean")
Arguments
ref
The reference vector, a sample/point from a d-space.
type
The particular method to compute the distance:
-
euclidean
-
manhattan
X
A matrix with N samples from a d-space.
Value
A vector of length N with all distances
mugiro/elm documentation built on May 23, 2019, 8:21 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value
Description
The function dist_mat_vec compute the distance between each sample of
matrix (row-wise) and a reference vector.
Usage
1 | dist_mat_vec(x, ref, type = "euclidean")
|
Arguments
ref |
The reference vector, a sample/point from a d-space. |
type |
The particular method to compute the distance:
|
X |
A matrix with N samples from a d-space. |
Value
A vector of length N with all distances
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.